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Data:
100.00 102.04 102.51 102.71 103.00 103.39 102.32 103.88 104.65 104.46 104.65 104.36 102.71 104.55 104.76 105.72 106.20 106.50 105.14 106.50 106.69 106.50 106.50 106.39 105.43 107.18 107.37 107.46 107.66 107.37 106.30 107.85 107.95 107.85 107.66 107.76 106.69 108.92 109.22 109.02 108.62 109.02 107.76 109.60 109.80 109.41 109.60 109.60 108.15 110.18 110.27 110.87 111.25 111.15 109.99 111.83 111.73 112.31 112.12 111.73 110.27 112.71 113.38 113.57 113.77 114.15 112.99 115.03 115.03 114.84 114.75 114.84 113.32 115.92 115.84 116.49 116.90 116.99 115.74 117.73 117.17 116.83 117.08 117.23 115.25 117.98 117.97 118.56 118.42 118.51 117.25 119.08 118.85 119.41 120.43 120.87 119.31 122.24 123.14 123.39 124.46 125.33 124.17 125.48 125.35 125.15 124.31 124.14 121.81 124.62 123.93 124.29 124.16 124.02 122.00 124.58 124.06
Seasonal Period
12
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n <- length(x) sx <- sort(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Reduction Matrix',6,TRUE) a<-table.row.end(a) for (bigd in 0:2) { for (smalld in 0:3) { mylabel <- 'V(Y[t],d=' mylabel <- paste(mylabel,as.character(smalld),sep='') mylabel <- paste(mylabel,',D=',sep='') mylabel <- paste(mylabel,as.character(bigd),sep='') mylabel <- paste(mylabel,')',sep='') a<-table.row.start(a) a<-table.element(a,mylabel,header=TRUE) myx <- x if (smalld > 0) myx <- diff(x,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,var(myx)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,max(myx)-min(myx)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)])) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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